Michael Khuphisa

Data Engineer

City of Johannesburg, Gauteng, South Africa10 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in data engineering with strong ETL and database management skills.
Proven ability to collaborate with cross-functional teams for data solutions.
Passionate about leveraging data to drive actionable business insights.

Stackforce AI infers this person is a Data Engineer specializing in Fintech with strong expertise in data management and analytics.

Contact

michael.khupisa@standardbank.co.za LinkedIn

Skills

Core Skills

AwsSqlEtlData Warehousing

Other Skills

AWS GlueAWS Identity and Access Management (AWS IAM)AirflowAmazon AthenaAmazon Relational Database Service (RDS)Amazon S3AthenaAtlassian BambooAzure Data FactoryAzure DevopsBCM ControlMBMC Control-MBankingBitbucketBusiness Online

About

"I am a skilled data engineer with experience in designing and implementing data systems for Standardbank. My expertise includes data modeling, ETL processes, database management, and data quality assurance, as well as integration with data visualization and analytics tools. Throughout my career, I have demonstrated a strong ability to collaborate with cross-functional teams to understand business needs and develop data solutions that drive actionable insights. I am experienced in a variety of data management technologies, including SQL, Python, Control-M, Teradata,SSIS,CloudPak,Data pipelines,CI/CD and NoSQL databases,Gitlab,Azure Devops,S3,AWS GLUE,IAM, ATHENA,RDS,ICEBERG,CRAWLERS My passion for data engineering stems from my desire to help organizations unlock the full potential of their data. I am always seeking new challenges and opportunities to expand my skills and stay up-to-date with the latest technologies and trends in the field.

Experience

10 yrs 7 mos

Total Experience

5 yrs 3 mos

Average Tenure

8 yrs 7 mos

Current Experience

Standard bank south africa

6 roles

Intermediate Data Engineer

Promoted

Aug 2025 – Present · 10 mos

AWS, Azure Devops, Gitlab, SQL, PosgreSQL, Python, Powershel, Yaml, S3, Athena, Airflow, BCM ControlM, CICD,Step Function, AWS Glue,Visual Studio Code, SSDT, Git, Change Management, Cloudpak 4 data
Developing a GitLab CI/CD pipeline to automate and streamline database deployments to Aurora. The solution enhances collaboration, reduces deployment time, and ensures governed, efficient releases through automation and continuous integration.

AWSAzure DevopsGitlabSQLPostgreSQLPython+14